A crash course in data analytics

1. A crash course in data analytics
WITH HENRICA MAKULU
NUST APPLIED MATHS ALUMNI ∙ CASSAVA SMARTECH DATA ANALYST ∙ FOUNDER OF HM DIGITAL

2. 1. Industry Outlook
2. Datacate yourself!
3. Practical
AGENDA

3. Henrica Makulu
Data Analyst | Mentor |
Founder
Henrica is a tech
professional with ten
years’ experience in
digital literacy and six
years’ experience in
data analytics. She loves
to simplify tech
concepts and help equip
individuals and
corporates with problem
solving skills using
technology
BSc Hons. Applied Mathematics (National University of Science & Technology)
6 years experience in data analysis
Has trained over 500 individuals on various skills including one on one training as
well as corporate training using tools such as Microsoft Office, Qlik Sense, SPSS
and Python. Trained Togo National Government Officials on Qlik Sense
Dashboards. Trained South African Educators online on Digital Literacy in
partnership with MANCOSA School of Education: https://youtu.be/Sr0ZupULp34
Founder of HM Digital Training & Mentorship Program
Who am I?…
Recognised as one of Africa’s leading women in data analytics by TECHBUILD.AFRICA (2021)
Data Science Certifications (WorldQuant University, Acadgild, IBM Digital Nation,
LinkedIn Learning). Currently pursuing AZURE DATA SCIENTIST ASSOCIATE -
MICROSOFT
Part of Data Science Zimbabwe Community

4. 4
Trends
Global & Local
World Economic Forum named data
science among the most competitive
skills of the Fourth Industrial
Revolution (Future of Jobs Survey &
Report 2018)
Africa is still behind and there is a lot
of opportunity to be a pioneer in this.
Definition
Data analysis vs data science
Data analysis involves examining
large data sets to identify trends,
develop charts, and create visual
presentations to help businesses
make more strategic decisions. Data
science, on the other hand, involves
designing and constructing new
processes for data modeling and
production using prototypes,
algorithms, predictive models, and
custom analysis.
https://www.northeastern.edu/graduat
e/blog/data-analytics-vs-data-science/
Data & Applications
Academic / Personal / Corporate /
Community
Data science can be used to help
make better decisions in your
personal life, for your employer or in
your community.
“Without data you're just another person with an opinion.”
Data Science/Analytics Landscape

5. DISRUPTION
The world is moving. Think back 5, 10, 15 years. 4IR is here
The future of careers is different: be future ready
Self-service (e-commerce, airport check-in,
vending machines etc)
Artificial Intelligence
(self driving cars, Google home, robots, drones etc)
Big Data
Cloud
5G
Business powerhouses are big data users

6. Real time analytics!
…if you torture the data long enough it will confess…

7. DATA DRIVEN DECISIONS
From January 2020 to date we have
managed to service 50 clients,
almost half of whom are in the food
industry. This is a slight decline
(17%) from the 56 clients we served
in 2019. Please find attached a
detailed breakdown by industry
5
13
26
24
25
13
0% 20% 40% 60% 80% 100%
2019
2020
Manufacturing Food Clothing
2020: 50 17% YoY
2019:
56

8. 8
Kaggle
For practical real life data
science business problems
and
solutions: https://www.kaggl
e.com/
(https://www.kaggle.com/guy
baryosef/portfolio-analysis-
preprocessing/notebook)
01
Youtube
For specific how to
videos
02
LinkedIn
For influencers in
your field and
relevant expertise
groups
(Towards Data
Science, Data
Science Central etc)
03
Coursera
Udemy
DataFlair
DataCamp
(https://www.datacam
p.com/community/tut
orials/finance-python-
trading)
For online learning
04
“Keep it simple.”
Datacate yourself

9. 9
Data Science Process - Overview
Data
Extraction
Tools: SQL, Excel,
Python
Data
Preparation
Tools: Excel, Python
Data
Exploration
Tools: Excel, Python
Data
Visualisation
/Modeling
Tools: Power BI, Qlik,
Tableau
Data
Presentation
Tools: PowerPoint
“Translating Data to Insights and Action.”
Requirement

10. Henrica Makulu
dataanalyticspractical…
let’sdiginto
thedata!

11. SHAMELESS PLUG!
Read my story:
https://wtcafrica.wordpress.com/2021/04/23/i-love-data-story-telling-henrica-ketura-makulu/
Watch my Youtube vids:
Follow me on LinkedIn: Henrica Makulu
Check out my data articles on how to get into data science: resiliatech.com
Check out my slide decks: slideshare.net

12. THANKYOU!
EMAIL: HENRICAMAKULU@GMAIL.COM
HENRICA MAKULU
 DATA SCIENCE & ANALYTICS
 HOW I LANDED A JOB WITH ZIM’S
BIGGEST TECH COMPANY
 ETC
Check out my articles on LinkedIn
and www.resiliatech.com
I write about: